johnzhaox's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
terkelg/awesome-creative-coding
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
FedML-AI/FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
astanin/python-tabulate
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
innovation-cat/Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
kamalkraj/BERT-NER
Pytorch-Named-Entity-Recognition-with-BERT
GANs-in-Action/gans-in-action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
windmaple/awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
wimglenn/johnnydep
Display dependency tree of Python distribution
hsd1503/resnet1d
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
okankop/vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Substra/substra
Low-level Python library used to interact with a Substra network
GalaxyLearning/GFL
Galaxy Federated Learning Framework （星际联邦学习框架）
schulter/EMOGI
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
rdcolema/pytorch-image-classification
Classifying cat and dog images using Kaggle dataset
espectre/Kaggle_Dogs_vs_Cats_PyTorch
kaggle competition: Dogs_vs_Cats_PyTorch Presentation（Getting started with PyTorch）
sutd-visual-computing-group/dag-gans
Data Augmentation optimized for GAN
amurthy1/dagan_torch
PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)
jayChung0302/videomix
Implementation of brand new video augmentation strategy for video action recognition with 3D CNN
LordGaav/docker-devpi
A ready to use Docker image for devpi-server.
agate-team/spacyannotation
A tool to annotate data for SpaCy NER to create custom NER model
BreastGAN/augmentation
Adversarial Augmentation for Enhancing Classification of Mammography Images
bcicen/devpi-tools
Small Python library for interacting with devpi servers via web API
AllenInstitute/U-DAGAN
Unsupervised data augmentation using GANs.